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Population Estimation of Internet Forum Community by Posted Article Distribution

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6279))

Abstract

Traditionally, it seems that there are no typical patterns or regularities on an internet forum and the bulletin board because it is a result of voluntary behaviour of an individual user. However, recent studies show distribution of the number of posted articles per user on them follows as a power law distribution. We think that this regularity of the emergent behaviour is very important for understanding social science and human communication because it is possible to estimate the number of lurkers of each forum thread only using by usually observable data. In this paper, we proposed a set of estimation methods based on preferential attachment which is emerged by reciprocity as a human trait. The effectiveness of our proposed estimation methods is verified by comparing it with indices to be strongly related to the population of its corresponding human behaviour.

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Kubo, M., Naruse, K., Sato, H., Matsubara, T. (2010). Population Estimation of Internet Forum Community by Posted Article Distribution. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15384-6_32

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  • DOI: https://doi.org/10.1007/978-3-642-15384-6_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15383-9

  • Online ISBN: 978-3-642-15384-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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